Audio de-noising using Python (Wavelets)
What is audio de-noising? Audio de-nosing is a process of removing noise(unwanted sound/signals from audio). You might have heard of noise cancellation headphones, these remove all the noise from the audio. This process has various applications in media creation and learning. Also, de-noising is not only done on audio but also done on images. There are various methods to do this. We will see 2 methods and implement one. Method 1: FFT (Fourier Transform) There are multiple different implementations of FT: FFT (fast FT), STFT (Short time FT). Also, there are inverse for each of them IFT respectively. So what is it? In short, FFT converts signals from one form to another, in audio, the time-series signal is converted to the frequency domain. More shortly, the dominant audio (your voice) will have more power than the non-dominant(noise). The following video will explain (a really good video): Denoising with FFT (in Python) Method 2: Wavelets (faster than FT) These are complicated